OpenML
Supervised Classification on audiology

Supervised Classification on audiology

Task 3862 Supervised Classification audiology 519 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9683, kappa: 0.9144, kb_relative_information_score: 165.8622, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9703, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4163, scimark_benchmark: 1345.6844, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.956, kappa: 0.884, kb_relative_information_score: 188.5701, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9564, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4462, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9689, kappa: 0.9174, kb_relative_information_score: 183.9998, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3939, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9342, kappa: 0.8271, kb_relative_information_score: 175.0033, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9351, predictive_accuracy: 0.9336, prior_entropy: 0.8182, recall: 0.9336, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4865, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1332.7986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1313.5633, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.939, kappa: 0.8413, kb_relative_information_score: 171.3734, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9416, predictive_accuracy: 0.9381, prior_entropy: 0.8182, recall: 0.9381, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.474, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9475, kappa: 0.8624, kb_relative_information_score: 185.4526, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9488, predictive_accuracy: 0.9469, prior_entropy: 0.8182, recall: 0.9469, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.222, root_relative_squared_error: 0.5112, scimark_benchmark: 1306.9281, usercpu_time_millis: 1310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9683, kappa: 0.9144, kb_relative_information_score: 165.8622, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9703, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4163, scimark_benchmark: 1336.5541, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9509, kappa: 0.8687, kb_relative_information_score: 184.8989, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9509, predictive_accuracy: 0.9513, prior_entropy: 0.8182, recall: 0.9513, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4567, scimark_benchmark: 1325.3966, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9601, kappa: 0.8938, kb_relative_information_score: 182.1363, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.8182, recall: 0.9602, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4352, scimark_benchmark: 1367.3264, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.7318, kappa: 0.2414, kb_relative_information_score: 87.289, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.8373, predictive_accuracy: 0.792, prior_entropy: 0.8182, recall: 0.792, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0501, scimark_benchmark: 1375.1578, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.939, kappa: 0.8413, kb_relative_information_score: 171.3734, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9416, predictive_accuracy: 0.9381, prior_entropy: 0.8182, recall: 0.9381, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.474, scimark_benchmark: 1329.1398, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9689, kappa: 0.9174, kb_relative_information_score: 183.9998, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3939, scimark_benchmark: 1335.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9475, kappa: 0.8624, kb_relative_information_score: 185.4526, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9488, predictive_accuracy: 0.9469, prior_entropy: 0.8182, recall: 0.9469, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.222, root_relative_squared_error: 0.5112, scimark_benchmark: 1341.3551, usercpu_time_millis: 1250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9683, kappa: 0.9144, kb_relative_information_score: 165.8622, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9703, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4163, scimark_benchmark: 1397.3209, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.7318, kappa: 0.2414, kb_relative_information_score: 87.289, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.8373, predictive_accuracy: 0.792, prior_entropy: 0.8182, recall: 0.792, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0501, scimark_benchmark: 1340.5381, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.7318, kappa: 0.2414, kb_relative_information_score: 87.289, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.8373, predictive_accuracy: 0.792, prior_entropy: 0.8182, recall: 0.792, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0501, scimark_benchmark: 1354.3488, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.939, kappa: 0.8413, kb_relative_information_score: 171.3734, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9416, predictive_accuracy: 0.9381, prior_entropy: 0.8182, recall: 0.9381, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.474, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9683, kappa: 0.9144, kb_relative_information_score: 165.8622, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9703, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4163, scimark_benchmark: 1347.993, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9683, kappa: 0.9144, kb_relative_information_score: 165.8622, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9703, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4163, scimark_benchmark: 942.9708, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9689, kappa: 0.9174, kb_relative_information_score: 183.9998, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3939, scimark_benchmark: 1348.2476, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9729, kappa: 0.9271, kb_relative_information_score: 185.789, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.8182, recall: 0.9735, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3632, scimark_benchmark: 1331.5882, usercpu_time_millis: 380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9342, kappa: 0.8271, kb_relative_information_score: 175.0033, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9351, predictive_accuracy: 0.9336, prior_entropy: 0.8182, recall: 0.9336, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4865, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1288.1375, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.939, kappa: 0.8413, kb_relative_information_score: 171.3734, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9416, predictive_accuracy: 0.9381, prior_entropy: 0.8182, recall: 0.9381, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.474, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.956, kappa: 0.884, kb_relative_information_score: 188.5701, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9564, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4462, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9689, kappa: 0.9174, kb_relative_information_score: 184.0794, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3931, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9509, kappa: 0.8687, kb_relative_information_score: 184.7921, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9509, predictive_accuracy: 0.9513, prior_entropy: 0.8182, recall: 0.9513, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4568, scimark_benchmark: 943.1756, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9263, kappa: 0.7982, kb_relative_information_score: 106.6893, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.931, predictive_accuracy: 0.9292, prior_entropy: 0.8182, recall: 0.9292, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.632, scimark_benchmark: 1349.1028, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9598, kappa: 0.8926, kb_relative_information_score: 192.0851, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9599, predictive_accuracy: 0.9602, prior_entropy: 0.8182, recall: 0.9602, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.437, scimark_benchmark: 1318.8785, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9598, kappa: 0.8926, kb_relative_information_score: 176.1224, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9599, predictive_accuracy: 0.9602, prior_entropy: 0.8182, recall: 0.9602, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.18, root_relative_squared_error: 0.4144, scimark_benchmark: 909.1698, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9435, kappa: 0.8535, kb_relative_information_score: 170.0841, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9467, predictive_accuracy: 0.9425, prior_entropy: 0.8182, recall: 0.9425, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4778, scimark_benchmark: 1351.6526, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.8552, kappa: 0.6195, kb_relative_information_score: 123.8485, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.8568, predictive_accuracy: 0.854, prior_entropy: 0.8182, recall: 0.854, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.375, root_relative_squared_error: 0.8635, scimark_benchmark: 1303.6621, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.8552, kappa: 0.6195, kb_relative_information_score: 123.8485, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.8568, predictive_accuracy: 0.854, prior_entropy: 0.8182, recall: 0.854, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.375, root_relative_squared_error: 0.8635, scimark_benchmark: 1328.4045, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.956, kappa: 0.884, kb_relative_information_score: 188.5701, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9564, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4462, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9216, kappa: 0.796, kb_relative_information_score: 167.9861, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9244, predictive_accuracy: 0.9204, prior_entropy: 0.8182, recall: 0.9204, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.5165, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9637, kappa: 0.9016, kb_relative_information_score: 148.4152, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9662, predictive_accuracy: 0.9646, prior_entropy: 0.8182, recall: 0.9646, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4652, scimark_benchmark: 1335.693, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8685, kappa: 0.6725, kb_relative_information_score: 136.1347, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.8871, predictive_accuracy: 0.8628, prior_entropy: 0.8182, recall: 0.8628, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.8323, scimark_benchmark: 1419.2433, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9642, kappa: 0.9039, kb_relative_information_score: 201.6167, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.8182, recall: 0.9646, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4332, scimark_benchmark: 1347.7065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4788, f_measure: 0.6399, kb_relative_information_score: -0.5589, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.5592, predictive_accuracy: 0.7478, prior_entropy: 0.8182, recall: 0.7478, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.0002, scimark_benchmark: 1342.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8544, kappa: 0.6588, kb_relative_information_score: 104.5352, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9041, predictive_accuracy: 0.8451, prior_entropy: 0.8182, recall: 0.8451, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.7134, scimark_benchmark: 1367.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8932, kappa: 0.7303, kb_relative_information_score: 138.0046, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9057, predictive_accuracy: 0.8894, prior_entropy: 0.8182, recall: 0.8894, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.5788, scimark_benchmark: 1352.1951, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9689, kappa: 0.9174, kb_relative_information_score: 184.0794, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3931, scimark_benchmark: 915.6729, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8544, kappa: 0.6588, kb_relative_information_score: 103.3996, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9041, predictive_accuracy: 0.8451, prior_entropy: 0.8182, recall: 0.8451, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.7171, scimark_benchmark: 1321.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9517, kappa: 0.8732, kb_relative_information_score: 185.7291, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9526, predictive_accuracy: 0.9513, prior_entropy: 0.8182, recall: 0.9513, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4693, scimark_benchmark: 1321.1875, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9509, kappa: 0.8687, kb_relative_information_score: 184.8989, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9509, predictive_accuracy: 0.9513, prior_entropy: 0.8182, recall: 0.9513, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4567, scimark_benchmark: 1373.2982, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 191.8179, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4768, scimark_benchmark: 1332.2926, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9403, kappa: 0.8371, kb_relative_information_score: 110.1266, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9447, predictive_accuracy: 0.9425, prior_entropy: 0.8182, recall: 0.9425, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.6191, scimark_benchmark: 1341.468, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9469, kappa: 0.8592, kb_relative_information_score: 185.4585, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9469, predictive_accuracy: 0.9469, prior_entropy: 0.8182, recall: 0.9469, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4295, scimark_benchmark: 1338.01, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.939, kappa: 0.8413, kb_relative_information_score: 171.3734, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9416, predictive_accuracy: 0.9381, prior_entropy: 0.8182, recall: 0.9381, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.474, scimark_benchmark: 1307.6183, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9216, kappa: 0.796, kb_relative_information_score: 167.9861, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9244, predictive_accuracy: 0.9204, prior_entropy: 0.8182, recall: 0.9204, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.5165, scimark_benchmark: 1332.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9603, kappa: 0.895, kb_relative_information_score: 198.6852, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9605, predictive_accuracy: 0.9602, prior_entropy: 0.8182, recall: 0.9602, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4595, scimark_benchmark: 1332.4146, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.931, kappa: 0.8226, kb_relative_information_score: 171.651, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.937, predictive_accuracy: 0.9292, prior_entropy: 0.8182, recall: 0.9292, relative_absolute_error: 0.2173, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.5304, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs